6.6: Normal Approximation to the Binomial Distribution and to p Distribution (18)

6: Chapter Review (22)

Chapter 7: Estimation

7.1: Estimating µ When σ Is Known (19)

7.2: Estimating µ When σ Is Unknown (21)

7.3: Estimating p in the Binomial Distribution (21)

7.4: Estimating µ1 - µ2 and p1 - p2 (23)

7: Chapter Review (19)

Chapter 8: Hypothesis Testing

8.1: Introduction to Statistical Tests (14)

8.2: Testing the Mean µ (26)

8.3: Testing a Proportion p (22)

8.4: Tests Involving Paired Differences (Dependent Samples) (22)

8.5: Testing µ1 - µ2 and p1 - p2 (Independent Samples) (32)

8: Chapter Review (18)

Chapter 9: Correlation and Regression

9.1: Scatter Diagrams and Linear Correlation (22)

9.2: Linear Regression and the Coefficient of Determination (25)

9.3: Inferences for Correlation and Regression (14)

9.4: Multiple Regression (6)

9: Chapter Review (10)

Chapter 10: Chi-Square and F Distributions

10.1: Chi-Square: Tests of Independence and of Homogeneity (15)

10.2: Chi-Square: Goodness of Fit (18)

10.3: Testing and Estimating a Single Variance or Standard Deviation (11)

10.4: Testing Two Variances (12)

10.5: One-Way ANOVA: Comparing Several Sample Means (9)

10.6: Introduction to Two-Way ANOVA (7)

10: Chapter Review (14)

Chapter 11: Nonparametric Statistics

11.1: The Sign Test for Matched Pairs (12)

11.2: The Rank-Sum Test (11)

11.3: Spearman Rank Correlation (11)

11.4: Runs Test for Randomness (12)

11: Chapter Review (10)

Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.